GPT, Gopher, GLaM, Wu Dao,Wudao, Megatron, MT-NLP, NLG, wudao, ImageNet, SuperGLUE, MS COCO, LaMDA, Language Models search results




Showing 20 out of 49 articles for GPT, Gopher, GLaM, Wu Dao,Wudao, Megatron, MT-NLP, NLG, wudao, ImageNet, SuperGLUE, MS COCO, LaMDA,
www.reddit.com | Today
Summary:
Will he break up with me Could anyone please share pattern of gopher plush to me Thanks. submitted by u Beneficial Wind7229 link comments...


Keywords: ...

www.thecerbatgem.com | Today
Summary:
The GPT Group (OTCMKTS:GPTGF Get Rating) was the recipient of a large growth in short interest in the month of September. As of September 15th, there was short interest totalling 817,400 shares, a growth of 27.8% from the August 31st total of 639,600 shares. Based on an average trading volume of 2,900 shares, the short-interest ratio is currently 281.9 days. The GPT Group Stock Performance OTCMKTS GPTGF remained flat at $2.75 on Friday. The firm's fifty day simple moving average is $2.91 and its two-hundred day simple moving average is $3....


Keywords: gpt

arxiv.org | Yesterday
Summary:
Large language models such as GPT-3 (Brown et al., 2020) can perform arbitrary tasks without undergoing fine-tuning after being prompted with only a few labeled examples. An arbitrary task can be reformulated as a natural language prompt, and a language model can be asked to generate the completion, indirectly performing the task in a paradigm known as prompt-based learning. To date, emergent prompt-based learning capabilities have mainly been demonstrated for unidirectional language models. How...


Keywords: r , gpt

arxiv.org | Yesterday
Summary:
Large Language Models (LLMs) have been transformative. They are pre-trained foundational models that are self-supervised and can be adapted with fine tuning to a wide ranger of natural language tasks, each of which previously would have required a separate network model. This is one step closer to the extraordinary versatility of human language. GPT-3 and more recently LaMDA can carry on dialogs with humans on many topics after minimal priming with a few examples. However, there has been a wide ...


Keywords: gpt, self-supervised, foundation, pre-trained, network

bactra.org | Today
Summary:
Attentionconservation notice Links to forbiddingly technical scientific papersand lecture notes, about obscure corners of academia you don t care about, andwhose only connecting logic is having come to the attention of someone with allthe discernmen...


Keywords: metric, algorithms, mathematic, time series

arxiv.org | Yesterday
Summary:
Autoregressive language models, which use deep learning to produce human-like texts, have become increasingly widespread. Such models are powering popular virtual assistants in areas like smart health, finance, and autonomous driving. While the parameters of these large language models are improving, concerns persist that these models might not work equally for all subgroups in society. Despite growing discussions of AI fairness across disciplines, there lacks systemic metrics to assess what equ...


Keywords: ai , metric, deep learning

research.google | Today
Summary:
Large pretrained e.g., foundation models exhibit distinct capabilities depending on the domain of data they are trained on. While these domains are generic, they may only barely overlap. For example, visual language models VLMs are trained on I...


Keywords: foundation, visual, zero-shot

www.thedailygopher.com | Today
Summary:
Minnesota Football vs. Purdue The Elite, The Meh The UglyThe Daily Gopher...


Keywords: ...

arxiv.org | Yesterday
Summary:
Mathematical reasoning, a core ability of human intelligence, presents unique challenges for machines in abstract thinking and logical reasoning. Recent large pre-trained language models such as GPT-3 have achieved remarkable progress on mathematical reasoning tasks written in text form, such as math word problems (MWP). However, it is unknown if the models can handle more complex problems that involve math reasoning over heterogeneous information, such as tabular data. To fill the gap, we prese...


Keywords: pre-trained, gpt, mathematic

arxiv.org | Yesterday
Summary:
Modern NLP models are becoming better conversational agents than their predecessors. Recurrent Neural Networks (RNNs) and especially Long-Short Term Memory (LSTM) features allow the agent to better store and use information about semantic content, a trend that has become even more pronounced with the Transformer Models. Large Language Models (LLMs) such as GPT-3 by OpenAI have become known to be able to construct and follow a narrative, which enables the system to adopt personas on the go, adapt...


Keywords: nlp, neural network, gpt, lstm,

arxiv.org | Yesterday
Summary:
The automatic clinical caption generation problem is referred to as proposed model combining the analysis of frontal chest X-Ray scans with structured patient information from the radiology records. We combine two language models, the Show-Attend-Tell and the GPT-3, to generate comprehensive and descriptive radiology records. The proposed combination of these models generates a textual summary with the essential information about pathologies found, their location, and the 2D heatmaps localizing ...


Keywords: gpt, analysis

medium.com | Today
Summary:
Recent development of Large Language Models such as GPT-3, PaLM have demonstrated human-level text generation abilities which makes it often very difficult for people to distinguish between real and synthetic text. It then becomes very easy for an adversary to spread misinformation in an automated fashion over large scale. This often happens when a miscreant fine-tunes one of the large pretrained models for its specific use case. Recently, while there have been some known instances, in general there is no estimate of how commonly such models are deployed in the real world....


Keywords: gpt, text generation

arxiv.org | Yesterday
Summary:
Training vision or language models on large datasets can take days, if not weeks. We show that averaging the weights of the k latest checkpoints, each collected at the end of an epoch, can speed up the training progression in terms of loss and accuracy by dozens of epochs, corresponding to time savings up to ~68 and ~30 GPU hours when training a ResNet50 on ImageNet and RoBERTa-Base model on WikiText-103, respectively. We also provide the code and model checkpoint trajectory to reproduce the res...


Keywords: imagenet, gpu, test, resnet

thesequence.substack.com | Today
Summary:
128221 EditorialGenerative models based on textual inputs are experiencing tremendous momentum. Models such as DALL E, Midjourney, and Stable Diffusion have captured the imagination of not only the AI community but artists, designers, gamers, and cre...


Keywords: alexa, rl , reinforcement learning

research.google | Today
Summary:
Recent works have shown the capabilities of large language models to perform tasks requiring reasoning and to be applied to applications beyond natural language processing, such as planning and interaction for embodied robots.These embodied problems ...


Keywords: natural language processing

physicsworld.com | Today
Summary:
Study shows that current climate trends will likely lead to reductions in observing time due to poor conditionsThe post Climate change expected to reduce the quality of ground based astronomical observations appeared first on Physics World....


Keywords: analysis, gpt, design

research.google | Today
Summary:
Recent advances in Transformer based large language models LLMs achieved significant performance improvements across many tasks. These gains come with drastic increase in the models size, leading to slow and costly use at inference time. In practi...


Keywords: transformer

javascript.plainenglish.io | Today
Summary:
For 2D Metaverse in JavaScript Add Chatbot in Multiplayer GameIntroductionI developed chatbots and games, and thought can we put both chatbot in game Theres lot of talk about the metaverse right now, and maybe the idea is not so stupid talking to...


Keywords: node, nlp, vue js, game

stackoverflow.com | Today
Summary:
I m using ResNet50 but get an error Input of layer quot conv1 conv quot is incompatible with the layer. tried to use reshape but still get the error. What s the problem ......................Ful code X train, X test, y train, y test train test s...


Keywords: imagenet, metric, python, tpu, test

mashable.com | Today
Summary:
From Calabasas all the way to King rsquo s Landing, there are two families. Both united in opulent wealth. Both united in monstrous influence. Both two sides of the same coin.While the two families continue to command our screens, our attention, and ...


Keywords: test


Please log in to see more search results.